class_docstr: Return conditioned Behavior cloning agent.
docstr: Returns the agent's first action for this episode.
docstr_tok: ["Returns","the","agent","'s","first","action","for","this","episode","."]
code: def begin_episode(self, observation):
      """Returns the agent's first action for this episode."""
      self._reset_state()
      self._record_observation(observation)
      if not self.eval_mode:
          self._train_step()
      return self._get_action()
  
imports: import functools
  from absl import logging
  from dopamine.jax import losses
  from dopamine.jax.agents.dqn import dqn_agent
  from dopamine.jax.agents.rainbow import rainbow_agent
  from dopamine.labs.offline_rl.jax import offline_rainbow_agent
  import gin
  import jax
  import jax.numpy
  import numpy
  import optax
  import tensorflow
label_desc: Use image node_id 8 for calling the JaxReturnConditionedBCAgent obj's underlying member method code with example usage: obj.begin_episode(observation) and returns: self